Prompting basics

Prompting a large language model.

Author

Affiliation

Andrew Ellis

Virtuelle Akademie, Berner Fachhochschule

Pyobsplot demo

import polars as pl
# from pyobsplot import Plot
# from pyobsplot import Plot, d3, Math, js
from pyobsplot import Obsplot, Plot, d3, js

opw = Obsplot(renderer="widget")
# opj = Obsplot(renderer="jsdom")

penguins = pl.read_csv("https://github.com/juba/pyobsplot/raw/main/doc/data/penguins.csv")

1

The renderer parameter can be set to "widget" or "jsdom". The former is the default and uses the ipywidgets library to render the plot in a Jupyter notebook. The latter uses the pywebview library to render the plot in a separate window.

2

The penguins dataset is a popular dataset from the palmerpenguins package in R. It contains measurements of penguins from three species: Adelie, Chinstrap, and Gentoo.

penguins

shape: (344, 7)

species	island	culmen_length_mm	culmen_depth_mm	flipper_length_mm	body_mass_g	sex
str	str	f64	f64	f64	f64	str
"Adelie"	"Torgersen"	39.1	18.7	181.0	3750.0	"MALE"
"Adelie"	"Torgersen"	39.5	17.4	186.0	3800.0	"FEMALE"
"Adelie"	"Torgersen"	40.3	18.0	195.0	3250.0	"FEMALE"
"Adelie"	"Torgersen"	NaN	NaN	NaN	NaN	null
"Adelie"	"Torgersen"	36.7	19.3	193.0	3450.0	"FEMALE"
"Adelie"	"Torgersen"	39.3	20.6	190.0	3650.0	"MALE"
"Adelie"	"Torgersen"	38.9	17.8	181.0	3625.0	"FEMALE"
"Adelie"	"Torgersen"	39.2	19.6	195.0	4675.0	"MALE"
"Adelie"	"Torgersen"	34.1	18.1	193.0	3475.0	null
"Adelie"	"Torgersen"	42.0	20.2	190.0	4250.0	null
"Adelie"	"Torgersen"	37.8	17.1	186.0	3300.0	null
"Adelie"	"Torgersen"	37.8	17.3	180.0	3700.0	null
…	…	…	…	…	…	…
"Gentoo"	"Biscoe"	43.5	15.2	213.0	4650.0	"FEMALE"
"Gentoo"	"Biscoe"	51.5	16.3	230.0	5500.0	"MALE"
"Gentoo"	"Biscoe"	46.2	14.1	217.0	4375.0	"FEMALE"
"Gentoo"	"Biscoe"	55.1	16.0	230.0	5850.0	"MALE"
"Gentoo"	"Biscoe"	44.5	15.7	217.0	4875.0	null
"Gentoo"	"Biscoe"	48.8	16.2	222.0	6000.0	"MALE"
"Gentoo"	"Biscoe"	47.2	13.7	214.0	4925.0	"FEMALE"
"Gentoo"	"Biscoe"	NaN	NaN	NaN	NaN	null
"Gentoo"	"Biscoe"	46.8	14.3	215.0	4850.0	"FEMALE"
"Gentoo"	"Biscoe"	50.4	15.7	222.0	5750.0	"MALE"
"Gentoo"	"Biscoe"	45.2	14.8	212.0	5200.0	"FEMALE"
"Gentoo"	"Biscoe"	49.9	16.1	213.0	5400.0	"MALE"

Plot.plot({
    "grid": True,
    "color": {"legend": True},
    "marks": [
        Plot.dot(
            penguins, 
            {"x": "flipper_length_mm", "y": "body_mass_g", "fill": "species"}
        ),
        Plot.density(
            penguins, 
            {"x": "flipper_length_mm", "y": "body_mass_g", "stroke": "species"}
        )
    ]
})

data = pl.DataFrame({
    "x": [1, 5, 2, 4, 6, 2, 4],
    "y": [2, 1, 3, 4, 5, 1, 2],
    "type": ["T1", "T2", "T1", "T2", "T1", "T1", "T2"],
})

opw({
    "grid": True,
    "marks": [
        Plot.dot(data, {
            "x": "x", "y": "y", "r": 5,
            "stroke": "black", "fill": "steelblue",
            "fillOpacity": js("d => d.type == 'T1' ? 0.7 : 0.1")
        })
    ]
})